Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- University of Cambridge
- ; University of Reading
- University of Newcastle
- ; University of Southampton
- ; Newcastle University
- Imperial College London
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; University of Bradford
- ; University of Cambridge
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- Abertay University
- Heriot Watt University
- University of Oxford
- ; City St George’s, University of London
- ; Durham University
- ; King's College London
- ; Oxford Brookes University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of East Anglia
- ; University of Leeds
- ; University of Plymouth
- ; University of Stirling
- ; University of Strathclyde
- ; University of Warwick
- Aston University
- Brunel University
- Harper Adams University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Nature Careers
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Leicester
- University of Sheffield
- 39 more »
- « less
-
Field
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
ideal candidate will have an interest in ecological modelling, spatial analysis, and conservation planning, with experience in ecological fieldwork or quantitative data analysis being advantageous. Full
-
sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
-
Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
-
motivated and skilled candidate with a background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data
-
). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not
-
analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
-
rheology, functional ingredients. Experience of data handling and statistical analysis. Track record of scientific writing (for career stage), with publications in peer-reviewed scientific journals
-
the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
-
expertise in single-cell spatial analysis and collaborations with leading epidemiologists, we have collated unique data resources that will enable us to characterise the link between obesity and the breast